List your tool

Head to head · 2026

Dataloop vs Labelbox

Pricing, free plans, ratings, features, pros and cons, side by side. Where one comes out ahead, we mark it.

Dataloop

Foundation-model integration, RLHF/RLAIF, and RAG workflows in one platform - claimed 20x faster AI development, trusted…

3.8Not listed

Visit Dataloop (opens Dataloop in a new tab)

Labelbox

Runs reinforcement-learning data factories that power frontier models for the world's top AI labs

4.1Free

Visit Labelbox (opens Labelbox in a new tab)

Who comes out ahead

Based only on the facts in our directory. The right pick still depends on the job you need done.

  • Lower starting price

    Not comparable

    Not comparable: Dataloop does not list a price

  • Free plan

    Labelbox

    Only Labelbox has one

  • Higher rating

    Labelbox

    3.8 against 4.1

  • Same job?

    Yes

    Both are AI Infrastructure & Agent Tooling tools

Side by side

Compared onDataloopLabelbox
Our rating3.84.1Better
Starts atNot listedFree
Free planNoYesBetter
CategoryAI Infrastructure & Agent ToolingAI Infrastructure & Agent Tooling
PlansSee pricingFree
Key features
  • Foundation model / GenAI integration and model management
  • RLHF/RLAIF - reinforcement learning from human/AI feedback
  • RAG (retrieval-augmented generation) workflow support
  • 100+ pre-built marketplace nodes and pipeline templates
  • Human-in-the-loop annotation combined with automated preprocessing
  • Three connected products: Catalog (curation), Annotate (labeling), Model (evaluation)
  • Reinforcement-learning data factory positioning for frontier model training
  • Human- and model-assisted labeling workflows in one pipeline
  • Labelbox Unit (LBU) pricing scales by the type of data work performed
  • Free tier with usage caps for evaluating the platform
Pros
  • Combines data labeling, model management, and RLHF/RAG in one platform
  • Marketplace templates reduce pipeline setup time for common patterns
  • Enterprise compliance credentials (GDPR, ISO 27001/27701, SOC 2) support regulated use
  • Full pipeline (curate, label, evaluate) avoids stitching together separate point tools
  • LBU pricing ties cost directly to the type of work performed rather than a flat per-seat fee
  • Proven at frontier-model scale with major AI labs as customers
Cons
  • No published pricing - requires a demo or consultation
  • Full lifecycle breadth means a real learning curve to use effectively
  • Claimed 20x development speed is a vendor-reported figure
  • LBU-based pricing takes time to model accurately before committing to a budget
  • Built for large-scale data operations, likely more infrastructure than a small team needs
  • Three-product scope (Catalog, Annotate, Model) adds a learning curve versus a single-purpose labeling tool
CompanyDataloopLabelbox, founded 2018

Prices come from each vendor's pricing page, last checked 20260824. Check the vendor before you buy.

FAQ

Questions people ask

Is Dataloop better than Labelbox?

In our reviews Dataloop scores 3.8 and Labelbox scores 4.1. The better pick depends on the job. Dataloop: Foundation-model integration, RLHF/RLAIF, and RAG workflows in one platform - claimed 20x faster AI development, trusted by NVIDIA, Ford, and Microsoft. Labelbox: Runs reinforcement-learning data factories that power frontier models for the world's top AI labs.

Which is cheaper, Dataloop or Labelbox?

Dataloop: see pricing. Labelbox: free.

Do Dataloop and Labelbox have free plans?

Only Labelbox has a free plan.

More comparisons

Dataloop compared with

All Dataloop alternatives

Labelbox compared with

All Labelbox alternatives